KDnuggets : News : 2007 : n08          ( Previous issue | Next issue )

KDnuggetsTM News 07:n08, Apr 24, 2007

Word cloud for this issue:
ability algorithm analysis analytic analytics application business client company computer customer data data_mining decision develop development director error experience field industry information knowledge large learning logistic machine marketing model modeling network online position predictive problem product program regression research sas science search service simon skill software statistical strong support team technique technology time traffic user variable web well work year

Features | Software | Webcasts | Courses | Jobs | Academic/Research Positions | Publications | Briefs | CFP | Quote
  1. Poll Results: The most popular social bookmarking sites
  2. New Poll: Internet connection speed and region
  3. Interview with Simon Funk of the Netflix prize fame
  4. Simon Funk: What attracted you to machine learning?
  5. Simon Funk: involvement with the Netflix Prize
  6. Simon Funk: Why SVD approach?
  7. Start of the DATA-MINING-CUP Contest 2007
  8. Googlebot goes beyond crawling static pages - queries local search engine
  9. 2M in Grants to Study and Improve U.S. Elections
  10. Entity Resolution/Cross-document coreference: $50,000 Spock Challenge
  11. Top items from KDnuggets News 07:n07, Apr 10
Most Viewed KDnuggets Items

* 3. Interview with Simon Funk ...
* 6. Simon Funk: Why SVD approach?
* 4. Simon Funk: What attracted you to machine learning?
* 7. Start of the DATA-MINING CUP Contest 2007
* 5. Simon Funk: involvement with the Netflix Prize
* 12. Software: Reduced Error Logistic Regression ...
* 1. Poll Results: social bookmarking sites
Software

  1. Reduced Error Logistic Regression is not your Grandfather's Logistic Regression
Webcasts
  1. May 3 KDD Webcast: Mining High-Throughput Biological Data, by David Page
  2. May 8 Intelligent Results Webcast: Data-Driven in 2007
  3. May 15 Webcast: Robust predictive modeling through SRM, by Isabelle Guyon
Courses
  1. Yahoo!, Dow Jones, Thomson, Whirlpool + more speak on text mining in Boston this June
Most Viewed Webcasts/Courses

* 16. Yahoo!, Dow Jones, Thomson, Whirlpool + more speak on text mining
* 13. May 3 KDD Webcast: Mining High-Throughput Biological Data

Jobs
  1. Seattle, WA: Principal Scientist at Inrix
  2. Bellevue, WA: Analytics Director at InfoSpace
  3. Chicago, IL: Applied Statistician at The Cambridge Group
  4. Cary, NC: Research Statistician - Algorithm Developer - 07001252 at SAS
  5. Cary, NC: Research Statistician - Data Mining Applications Development - 07001251 at SAS
  6. Irving, TX or San Antonio, TX: Director, Decision Support at Javelin
  7. San Diego, CA: Analytic Science Scientist Lead (#2592) at Fair Isaac
  8. San Diego, CA: Analytic Science Scientist II (#2680) at Fair Isaac
  9. San Diego, CA: Analytic Science Scientist I (#2430) at Fair Isaac
Most Viewed Jobs

* 17. Seattle, WA: Principal Scientist at Inrix
* 21. Cary, NC: Research Statistician - Data Mining Applications Development
* 23. San Diego, CA: Analytic Science Scientist Lead (#2592) at Fair Isaac
* 19. Chicago, IL: Applied Statistician at The Cambridge Group
Academic/Research Positions
  1. NSF Program Director opening in Information Integration and Informatics

Publications
  1. How Can Advertisers Benefit from Click Scoring?
  2. Book Review: Competing on Analytics: The New Science of Winning
  3. Cookie-Based Counting Overstates Size of Web Site Audiences
  4. Seth Grimes on The Grand Challenge for Text Mining
Most Viewed Publications

* 28. Book Review: Competing on Analytics
* 30. Seth Grimes on The Grand Challenge

Briefs
  1. Aggregate Knowledge Unveils Strategy for Leading Online Discovery Market
  2. WunderLOOP - The New Behavioral Wunder
  3. Data Mining Gamers
  4. Simba Technologies Becomes Business Objects Global Technology Partner
  5. SAS� OnDemand for Academics
  6. Data Mining for E-Tail Gold
Most Viewed Briefs

* 33. Data Mining Gamers
* 35. SAS� OnDemand for Academics
* 36. Data Mining for E-Tail Gold
CFP
  1. Data Mining Case Studies at KDD-07, due May 15
    Domain Driven Data Mining, due May 20
    Plagiarism Analysis, Author Id, Near-Duplicate Detection, due May 27
    Data Mining and Audience Intelligence for Advertising (ADKDD'07), due May 25
    Privacy, Security, and Trust in KDD (PinKDD'07), due May 31
    Joint 9th WebKDD and 1st SNA-KDD Workshop on Web Mining and Social Network Analysis, due May 31
    Knowledge Discovery at 41st HICSS, due Jun 15
    Oracle BI, DW, and Analytics Summit, due Jun 15
    Intelligent Web Interaction Workshop at WI'07, due Jun 20
    Machine Learning in Space, due Jul 1
Quote
I know for many this competition (Netflix prize) is between teams, but to me it's just part of a grander competition with time.

Simon Funk


KDnuggets : News : 2007 : n08

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